Meta-Modeling of AI for Software Modularization

Abstract

Recent developments in artificial intelligence have surprisingly been only on the machine-learning related technologies. This growing trend brings new hardships to the already problematic AI programming sector that looks like a zoo of paradigms. AI is unfortunately full of incompatible technologies that can hardly cooperate in a common multidisciplinary project. These technologies are also under the threat of being abandoned in favor of the emerging machine learning techniques. However, there are many valuable ideas and concepts in the classical AI approaches that can be quite useful in the awaiting challenges of general AI. Such a great endeavor will necessitate everything we know about representing and processing knowledge. Meta-modeling of the AI domain as a whole can bring about model driven development as a glue for the fragmented development efforts. In the long run it also has the capacity to trigger a unification and revival of the art of AI programming around a more structured central paradigm.

Authors and Affiliations

Dr. Ahmet Egesoy

Keywords

Related Articles

A Case Study on System Issues and Impact of Mobility in Wireless Mobile Computing

In Mobile computing there are many Issues and impact that we identify and investigate their technical significance in this research paper. In new research, problems include management of location dependent data, informat...

Age Estimation Through Radiographs

The skeleton is an important part of the human body. It provides a definite shape and defines the stature of the human body along with it also plays an important role in forensic science. It aids forensic anthropologists...

A Study of Water Quality Analysis

Water is undoubtedly supreme valuable natural supply afterward air. Despite fact that water covers majority of earth's surface, just tiny percentage of this is functional, making it extreme valuable. As a result, thi...

Analysis of Energy Harvesting Techniques and Uses for Microelectronics

Increasingly advanced equipment may now be smaller and use less power thanks to technological advancements. These deteriorate but also power ushers in new wearable technology paradigms, with a slew of embedded systems co...

Layered Double Hydroxides as Promising Photo catalysts: A Review of Recent Progress, Challenges, and Prospects

Given before research on layered twofold hydroxides (LDHs) as new photograph impetuses, review on this class of materials has become one of the most captivating top stories. LDH has arisen as a critical class of layered...

Download PDF file
  • EP ID EP747597
  • DOI 10.21276/ijircst.2021.9.1.6
  • Views 6
  • Downloads 0

How To Cite

Dr. Ahmet Egesoy (2021). Meta-Modeling of AI for Software Modularization. International Journal of Innovative Research in Computer Science and Technology, 9(1), -. https://europub.co.uk/articles/-A-747597